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A contactless identification system based on hand shape features

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Figure

Fig. 1. (a) Leap Motion and its axis; (b) Hand length-width based features; (c) Hand distance features
Fig. 2. Training application. In this case, the user has to move the hand down and forward to fulfill the sweet spot  indications
Table 2. Correct classified instances (%) and time to build the model on 52, 21 and 11 input features
Fig. 3. Classifiers performance taking into consideration: a) the number of training samples and b) the users in the database

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